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bump ORT version to 1.8.1 (#8050)

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* bump ORT version to 1.8.1

* Change CMAKE_CUDA_STANDARD to C++17 for Windows GPU build (#7883)

Co-authored-by: Changming Sun <chasun@microsoft.com>
This commit is contained in:
harshithapv 2021-06-15 16:46:07 -07:00 committed by GitHub
parent d4106deeb6
commit 92621cb07f
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GPG key ID: 4AEE18F83AFDEB23
15 changed files with 27 additions and 18 deletions
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2
VERSION_NUMBER
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@ -1 +1 @@
1.8.0
1.8.1

7
cmake/CMakeLists.txt
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@ -1391,8 +1391,11 @@ if (onnxruntime_USE_CUDA)
endif()
enable_language(CUDA)
message( STATUS "CMAKE_CUDA_COMPILER_VERSION: ${CMAKE_CUDA_COMPILER_VERSION}")
set(CMAKE_CUDA_STANDARD 14)
if (WIN32)
set(CMAKE_CUDA_STANDARD 17)
else()
set(CMAKE_CUDA_STANDARD 14)
endif()
file(TO_CMAKE_PATH ${onnxruntime_CUDNN_HOME} onnxruntime_CUDNN_HOME)
set(ONNXRUNTIME_CUDA_LIBRARIES ${CUDA_LIBRARIES})

1
docs/Versioning.md
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@ -26,6 +26,7 @@ For more details on ONNX Release versions, see [this page](https://github.com/on
| ONNX Runtime release version | ONNX release version | ONNX opset version | ONNX ML opset version | Supported ONNX IR version | [Windows ML Availability](https://docs.microsoft.com/en-us/windows/ai/windows-ml/release-notes/)|
|------------------------------|--------------------|--------------------|----------------------|------------------|------------------|
| 1.8.1 | **1.8** down to 1.2 | 13 | 2 | 7 | Windows AI 1.8+ |
| 1.8.0 | **1.8** down to 1.2 | 13 | 2 | 7 | Windows AI 1.8+ |
| 1.7.0 | **1.8** down to 1.2 | 13 | 2 | 7 | Windows AI 1.7+ |
| 1.6.0 | **1.8** down to 1.2 | 13 | 2 | 7 | Windows AI 1.6+ |

5
docs/python/README.rst
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@ -8,6 +8,11 @@ For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://ak
Changes
-------
1.8.1
^^^^^
Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.8.1
1.8.0
^^^^^

2
js/common/package-lock.json generated
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@ -1,6 +1,6 @@
{
"name": "onnxruntime-common",
"version": "1.8.0",
"version": "1.8.1",
"lockfileVersion": 1,
"requires": true,
"dependencies": {

2
js/common/package.json
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@ -7,7 +7,7 @@
"type": "git"
},
"author": "fs-eire",
"version": "1.8.0",
"version": "1.8.1",
"keywords": [
"ONNX",
"ONNXRuntime",

2
js/node/package-lock.json generated
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@ -1,6 +1,6 @@
{
"name": "onnxruntime-node",
"version": "1.8.0",
"version": "1.8.1",
"lockfileVersion": 1,
"requires": true,
"dependencies": {

2
js/node/package.json
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@ -7,7 +7,7 @@
"type": "git"
},
"author": "fs-eire",
"version": "1.8.0",
"version": "1.8.1",
"keywords": [
"ONNX",
"ONNXRuntime",

4
js/react_native/package.json
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@ -1,6 +1,6 @@
{
"name": "onnxruntime-react-native",
"version": "1.8.0",
"version": "1.8.1",
"description": "Onnxruntime bridge for react native",
"main": "dist/commonjs/index",
"module": "dist/module/index",
@ -112,4 +112,4 @@
"buffer": "^6.0.3",
"onnxruntime-common": "file:../common"
}
}
}

4
js/web/package-lock.json generated
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@ -1,6 +1,6 @@
{
"name": "onnxruntime-web",
"version": "1.8.0",
"version": "1.8.1",
"lockfileVersion": 1,
"requires": true,
"dependencies": {
@ -5229,4 +5229,4 @@
"dev": true
}
}
}
}

4
js/web/package.json
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@ -7,7 +7,7 @@
"type": "git"
},
"author": "fs-eire",
"version": "1.8.0",
"version": "1.8.1",
"keywords": [
"ONNX",
"ONNXRuntime",
@ -75,4 +75,4 @@
"unpkg": "dist/ort.min.js",
"module": "./lib/index.js",
"browser": "dist/ort-web.min.js"
}
}

2
onnxruntime/__init__.py
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@ -7,7 +7,7 @@ ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exc
For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_
or the `Github project <https://github.com/microsoft/onnxruntime/>`_.
"""
__version__ = "1.8.0"
__version__ = "1.8.1"
__author__ = "Microsoft"
# we need to do device version validation (for example to check Cuda version for an onnxruntime-training package).

4
onnxruntime/core/providers/cpu/tensor/upsample.h
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@ -18,8 +18,8 @@ constexpr const char* UpsampleModeCubic = "cubic";
// is a 4x4 matrix
const size_t CubicModeGridLength = 4;
using GetNearestPixelFunc = std::function<int64_t(float, bool)>;
using GetOriginalCoordinateFunc = std::function<float(float, float, float, float, float, float)>;
using GetNearestPixelFunc = int64_t(*)(float, bool);
using GetOriginalCoordinateFunc = float (*)(float, float, float, float, float, float);
enum UpsampleMode {
NN = 0, // nearest neighbour

2
onnxruntime/core/providers/cuda/cuda_execution_provider.h
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@ -178,7 +178,7 @@ class CUDAExecutionProvider : public IExecutionProvider {
p.reset();
});
}
std::shared_ptr<PerThreadContextMap> p{std::make_shared<PerThreadContextMap>()};
std::shared_ptr<PerThreadContextMap> p = std::make_shared<PerThreadContextMap>();
};
static const std::shared_ptr<PerThreadContextMap>& PerThreadContextCache() {

2
package/rpm/onnxruntime.spec
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@ -1,5 +1,5 @@
Name: onnxruntime
Version: 1.8.0
Version: 1.8.1
Release: 1%{?dist}
Summary: onnxruntime